Summary
Keeta is hiring a Business Analyst, Customer Experience, to track performance and provide operational visibility across food, quick-commerce, and specialized business verticals in Riyadh. The role involves building and maintaining complex Hive SQL reporting, developing automated BI dashboards and performance models, and using GenAI tools for analytical automation. The analyst will work with business and operations teams to define data requirements and regional metrics, and turn analysis into business recommendations. Applicants should have 3–5+ years of relevant analytics experience and strong SQL skills, with Python or VBA/Power Query experience.
The posting
As published on keeta-global.com. Pulled from the employer's site and shown as they wrote it.
Responsibilities
1. Drive end-to-end performance tracking and operational visibility across core food, quick-commerce, and specialized business verticals.
2. Construct, optimize, and maintain complex Hive SQL queries using CTEs, window functions, and JSON parsing logic to power core reporting infrastructure.
3. Integrate GenAI tools into daily routines for automated code optimization, unstructured text/sentiment analysis, script debugging, and technical analysis generation.
4. Design and launch automated BI dashboards, interactive scorecards, and multi-tier performance models with key modules like UE, cost and occurrence for internal and external support teams.
5. Collaborate with business and operations to author data schema requirements (MRDs), streamline multi-scope requests, and standardize regional metric definitions during different business cycles.
Requirements
1. 3-5+ years of experience in Business Intelligence, Customer Analytics, or Operations Analytics within high-growth tech, e-commerce, or multi-vertical platforms.
2. Expertise in writing, debugging, and tuning complex SQL/Hive queries, with strong mastery of complex sql functions and data transformations.
3. Practical proficiency in leveraging GenAI tools for query building and analytical automation, alongside scripting experience in Python or VBA/Power Query.
4. Deep familiarity with core operational benchmarks spanning customer experience, operational efficiency, cost management, and team productivity.
5. Strong ability to translate complex data models into actionable business strategies, executive memos, and structured performance frameworks.
Highlights
1. Lead analytical decision-making across diverse business operations and emerging service offerings in key regional markets.
2. Direct exposure to cutting-edge AI tools to automate reporting overhead, refactor code, and accelerate deep-dive data processing.
3. Direct involvement in shaping unit economics, evaluating strategic customer policies, and building cost-reduction models.
4. Opportunity to build reporting systems from end to end data architecture design (MRDs) to front-end dashboard visualization to delivery of the strategic insights and recommendations.
5. Play a central leadership role in standardizing operational frameworks and migrating data engines across regional and international markets.